[R] MODISTools Help
bgunter.4567 at gmail.com
Fri Jun 23 01:38:51 CEST 2017
This is a specialized package that fairly few of us are likely to have
familiarity with, especialy when you have not followed the posting
guide (below) and posted code and a reproducible example.
That said, a web search on R MODIS appeared to bring up relevant hits,
including a MODIS tutorial. Have you tried that?
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, Jun 22, 2017 at 2:12 PM, Caroline
<gliddeca at science.oregonstate.edu> wrote:
> I am using MODIS Tools and am having a lot of difficulty troubleshooting my code.
> I am a PhD student studying African buffalo in Kruger National Park, South Africa. The study I am currently working on involves a herd of 200 African buffalo caught every six months for 4 years. I am trying to use EVI and NDVI to assess seasonal variation thus I would like mean EVI and NDVI for each observation (each time each buffalo was captured). I have capture date, lat and long for each observation.
> However, when using ‘250m_16_days_pixel_reliability’ as my quality control band I keep getting the warning message:
> Warning in MODISSummaries(LoadDat = period, FileSep = ",", Product = "MOD13Q1", :
> Only single data point that passed the quality screen: cannot summarise
> When using ‘250m_16_days_VI_Quality’ as my quality control band I keep getting the warning message:
> Error in QualityCheck(Data = band.time.series, QualityScores = QA.time.series, :
> QualityScores not all in range of MOD13Q1's QC: 0-3
> I seem to get this message with all subsets of my data (I have tried running all of my data at once and then just one data point at a time). I have also tried using wider date ranges as well as wider size ranges (in case the pixel reliability is poor within a certain area or time frame) but still get the same messages.
> [[alternative HTML version deleted]]
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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